rdf:type |
|
lifeskim:mentions |
umls-concept:C0002045,
umls-concept:C0036679,
umls-concept:C0040405,
umls-concept:C0181090,
umls-concept:C0225706,
umls-concept:C0237868,
umls-concept:C0302614,
umls-concept:C0450363,
umls-concept:C1533716,
umls-concept:C1704922,
umls-concept:C1705294,
umls-concept:C1706050
|
pubmed:issue |
2
|
pubmed:dateCreated |
2011-3-17
|
pubmed:abstractText |
This article presents a new computerized scheme that aims to accurately and robustly separate left and right lungs on computed tomography (CT) examinations.
|
pubmed:grant |
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:issn |
1532-3145
|
pubmed:author |
|
pubmed:issnType |
Electronic
|
pubmed:volume |
35
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
280-9
|
pubmed:dateRevised |
2011-6-7
|
pubmed:meshHeading |
pubmed-meshheading:21412104-Adult,
pubmed-meshheading:21412104-Algorithms,
pubmed-meshheading:21412104-Artificial Intelligence,
pubmed-meshheading:21412104-Female,
pubmed-meshheading:21412104-Humans,
pubmed-meshheading:21412104-Imaging, Three-Dimensional,
pubmed-meshheading:21412104-Lung,
pubmed-meshheading:21412104-Male,
pubmed-meshheading:21412104-Pattern Recognition, Automated,
pubmed-meshheading:21412104-Pulmonary Disease, Chronic Obstructive,
pubmed-meshheading:21412104-Radiographic Image Enhancement,
pubmed-meshheading:21412104-Radiographic Image Interpretation, Computer-Assisted,
pubmed-meshheading:21412104-Reproducibility of Results,
pubmed-meshheading:21412104-Sensitivity and Specificity,
pubmed-meshheading:21412104-Subtraction Technique,
pubmed-meshheading:21412104-Tomography, X-Ray Computed
|
pubmed:articleTitle |
Separation of left and right lungs using 3-dimensional information of sequential computed tomography images and a guided dynamic programming algorithm.
|
pubmed:affiliation |
Department of Computer Science, Chonnam National University, Gwangju, Korea. park.sangc@gmail.com
|
pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
|